Spot-Check Classification Machine Learning Algorithms in Python with scikit-learn
Last Updated on August 28, 2020
Spot-checking is a way of discovering which algorithms perform well on your machine learning problem.
You cannot know which algorithms are best suited to your problem before hand. You must trial a number of methods and focus attention on those that prove themselves the most promising.
In this post you will discover 6 machine learning algorithms that you can use when spot checking your classification problem in Python with scikit-learn.
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- Update Jan/2017: Updated to reflect changes to the scikit-learn API in version 0.18.
- Update Mar/2018: Added alternate link to download the dataset as the original appears to have been taken down.
Spot-Check Classification Machine Learning Algorithms in Python with scikit-learn
Photo by Masahiro Ihara, some rights reserved
Algorithm Spot Checking
You cannot know which algorithm will work best on your dataset before hand.